Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
The amount of operated oil transports continues to increase in the Gulf of Finland and in the case of an accident hazardous amounts of oil may be spilled into the sea. The oil accident may be harmful for the common guillemot and long-tailed duck populations. In this study expert knowledge regarding the behaviour and population dynamics of common guillemot and long-tailed duck in the Gulf of Finland was used to build a model to assess the impacts of an oil spill on the mortality and population size of these species. The Bayesian networks were used in the modelling. Based on the results the breeding colony of guillemots in Aspskär may survive in the consequence of recolonization. In conclusion, sufficient cleaning of the breeding site is important. The loss of one year offspring production may not have severe impact on the population size, the survival of adult breeders is more significant. The Baltic Sea population of long-tailed duck suffer from high nesting mortality at the breeding sites in the Northern Arctic Ocean. Thus the population has low offspring production; in the lack of chicks the possible oil spill may be directed only to adult breeders. The loss of experienced breeders during their migration may be harmful for the population. The models of common guillemot and long-tailed duck created and their results may be utilized in later oil impact studies on sensitive species.
...
Keywords
Metadata
Show full item recordCollections
- Pro gradu -tutkielmat [29589]
Related items
Showing items with similar title or keywords.
-
Eliciting expert knowledge to inform stock status for data-limited stock assessments
Chrysafi, Anna; Cope, Jason M.; Kuparinen, Anna (Pergamon Press, 2019)Data-limited fisheries are a major challenge for stock assessment analysts, as many traditional data-rich models cannot be implemented. Approaches based on stock reduction analysis offer simple ways to handle low data ... -
Assessing the long-term effect of Natura 2000 network on common breeding bird communities
Princé, Karine; Rouveyrol, Paul; Jiguet, Frédéric; Julliard, Romain; Loïs, Grégoire; Touroult, Julien (Open Science Centre, University of Jyväskylä, 2018)The Natura 2000 network (N2000) is currently the largest coordinated network of protected areas in the world, and focuses on the conservation of most valuable and threatened species and habitats in Europe. Although there ... -
Combining spatial prioritization and expert knowledge facilitates effectiveness of large-scale mire protection process in Finland
Kareksela, S.; Aapala, K.; Alanen, A.; Haapalehto, T.; Kotiaho, J.S.; Lehtomäki, J.; Leikola, N.; Mikkonen, N.; Moilanen, A.; Nieminen, E.; Tuominen, S.; Virkkala, R. (Elsevier BV, 2020)Conservation resource allocation involves a complex set of considerations including species, habitats, connectivity, local to global biodiversity objectives, alternative protection and restoration actions, while requiring ... -
Iranian EFL Teachers’ Assessment Literacy Knowledge : The Impact of The Educational System on Teachers’ Classroom Assessment Practices
Rezagah, Karim (Tabaran Institute of Higher Education, 2022)English language teachers’ assessment ability to assess all areas of pupils’ learning is important for comprehending how learners advance across the curriculum and guiding them in their development (Livingston & Hutchinson, ... -
Parameter estimation for allometric trophic network models : A variational Bayesian inverse problem approach
Tirronen, Maria; Kuparinen, Anna (John Wiley & Sons, 2024)Differential equation models are powerful tools for predicting biological systems, capable of projecting far into the future and incorporating data recorded at arbitrary times. However, estimating these models' parameters ...